Latest Articles for Operations Research

A new method enhances integer linear programming with cut removal and machine learning.

A look into the complexities and solutions for the multidimensional knapsack problem.

Learn about speed-robust scheduling and its importance in task management.

A concise overview of graph theory, focusing on Hoffman colorings and their applications.

Discover new methods for tackling complex optimization problems.

This paper discusses a method to speed up solving MINLP problems using paraboloids.

An analysis of mechanisms for effective facility location and client engagement.

Discover innovative multilevel approaches transforming optimization strategies for complex problems.

A look at how to manage customer wait times in queues.

Examining how random weights affect optimization problems in various fields.

An overview of clones and minions and their significance in algebra.

Exploring submodular optimization, its applications, challenges, and algorithms used to solve complex problems.

A simplified look at CSPs and the impact of additional constraints.

This study explores perfect matchings in Dirac graphs and hypergraphs.

Learn how to optimize effectively using biased information sources.

Examining how entropy regularization enhances decision-making in uncertain environments.

A look into graph theory, focusing on edges, matchings, and structures.

New algorithms enhance integer linear programming efficiency for optimization problems.

Introducing a dynamic method to improve bin packing efficiency using patterns.

Evaluating strategies for facility placement using predictions and randomized methods.

This article presents a new method for solving bilevel programming problems with linear and nonlinear components.

Learn how new methods improve column arrangement in binary matrices.

A look into managing inventory when demand is unpredictable.

Learn2Aggregate framework boosts efficiency in Mixed Integer Linear Programming.

New methods improve strategies for defending systems against attacks.

This study evaluates open-loop and Markovian controls in conditional exit scenarios.

Introducing a new framework for decision-making under uncertain customer preferences.

This study examines transportation costs involving random points and advanced mathematical techniques.

New methods improve the generation of unsatisfiable SAT problems for better machine learning training.

A new approach to solve complex IQP problems more efficiently.

A look into managing processes influenced by conditions and their control methods.

This study examines the Minimal Feedback Arc Set problem in random directed graphs.

Learn how policy gradient methods enhance decision-making across various industries.

Discover the fascinating world of Hamiltonian cycles and their significance in n-ary cubes.

A new method for placing facilities to minimize client travel distance.

Learn how interval orders shape scheduling and data management.

Discover MPECs and their real-world applications through implicit programming.

A new method that speeds up Mixed-Integer Linear Programming using machine learning.

Discover the intricacies and advancements in high-dimensional sampling methods.

Discover innovative methods to find optimal business locations effectively.